Row
Rank
Predicted Beta
Idiosyncratic Volatility
Row
Annualized return and volatility
| Close | |
|---|---|
| Annualized Return | 0.0892 |
| Annualized Std Dev | 0.2274 |
| Annualized Sharpe (Rf=0%) | 0.3920 |
Row
Daily Return Statistics
| Close | |
|---|---|
| Observations | 3957.0000 |
| NAs | 1.0000 |
| Minimum | -0.1212 |
| Quartile 1 | -0.0057 |
| Median | 0.0009 |
| Arithmetic Mean | 0.0004 |
| Geometric Mean | 0.0003 |
| Quartile 3 | 0.0076 |
| Maximum | 0.1221 |
| SE Mean | 0.0002 |
| LCL Mean (0.95) | 0.0000 |
| UCL Mean (0.95) | 0.0009 |
| Variance | 0.0002 |
| Stdev | 0.0143 |
| Skewness | -0.4423 |
| Kurtosis | 8.2805 |
Downside Risk
| Close | |
|---|---|
| Semi Deviation | 0.0106 |
| Gain Deviation | 0.0097 |
| Loss Deviation | 0.0115 |
| Downside Deviation (MAR=210%) | 0.0150 |
| Downside Deviation (Rf=0%) | 0.0104 |
| Downside Deviation (0%) | 0.0104 |
| Maximum Drawdown | 0.6984 |
| Historical VaR (95%) | -0.0215 |
| Historical ES (95%) | -0.0354 |
| Modified VaR (95%) | -0.0225 |
| Modified ES (95%) | -0.0443 |
| From | Trough | To | Depth | Length | To Trough | Recovery |
|---|---|---|---|---|---|---|
| 2007-07-18 | 2008-11-20 | 2013-02-11 | -0.6984 | 1403 | 342 | 1061 |
| 2020-02-20 | 2020-03-18 | 2020-08-20 | -0.4062 | 128 | 20 | 108 |
| 2015-07-20 | 2016-02-09 | 2017-02-21 | -0.2360 | 402 | 142 | 260 |
| 2018-06-21 | 2018-12-24 | 2019-04-10 | -0.2034 | 202 | 129 | 73 |
| 2014-03-07 | 2014-10-13 | 2015-02-25 | -0.1372 | 245 | 153 | 92 |
Row
Monthly and Calendar Year Returns
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Close | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005 | NA | NA | NA | NA | NA | -0.4 | 0.1 | 0.4 | 0.5 | 0 | 1.8 | -0.8 | 1.5 |
| 2006 | 1.2 | 1 | -0.1 | -1.4 | 1.3 | 0.3 | -1 | 0.7 | -0.1 | -1.6 | -0.8 | -0.4 | -0.8 |
| 2007 | 0 | -0.2 | 0.2 | 1.8 | 1.2 | -0.4 | 0.1 | 1.4 | 2.4 | -2 | 1.3 | -0.3 | 5.5 |
| 2008 | 3.3 | -1.4 | 2.5 | 3 | -0.3 | -1.2 | -1 | -1.2 | 0.8 | 2.4 | -9 | 2.1 | -0.6 |
| 2009 | -3.2 | 1.4 | 1.6 | 0.6 | 3.7 | 2 | 0.8 | -2.1 | -1.9 | -2.1 | 1 | -0.5 | 1.1 |
| 2010 | 1.8 | 1.6 | 0.2 | -1.9 | -3.6 | -0.4 | 0.7 | 3.4 | 0.4 | -0.5 | 2.3 | -0.1 | 3.7 |
| 2011 | 2 | -2.4 | 0.5 | 1.7 | -2.6 | 1.4 | -0.9 | -1.6 | -2.4 | -3 | 0.2 | -0.6 | -7.7 |
| 2012 | 1.4 | 0.5 | 0.7 | 0.1 | -3.3 | 1.8 | -0.3 | 0.6 | 0.1 | 1.5 | 0.6 | 2 | 5.7 |
| 2013 | 1.3 | 0.8 | -1.4 | -0.2 | -1 | 1 | 1.8 | -0.8 | 1.6 | 0.5 | 0 | 0.6 | 4.2 |
| 2014 | -0.4 | 0.7 | 1.8 | -0.1 | -0.9 | 1.1 | -0.4 | 0.2 | -1.8 | 1.4 | -1.2 | -0.9 | -0.6 |
| 2015 | -1.7 | -0.5 | -0.7 | -0.2 | 0.4 | 0.8 | -0.1 | -2.4 | 0.2 | -0.7 | 1.4 | 0.1 | -3.3 |
| 2016 | 0.8 | 2 | 0.7 | -0.1 | 0.1 | 0.3 | 0 | 0.1 | 0.5 | -1 | -1.5 | -0.9 | 0.9 |
| 2017 | 0.4 | 1.5 | 0.1 | -0.1 | 1.6 | 0.4 | 0.3 | 0.9 | 0.7 | 0.4 | 0.3 | -0.5 | 6.1 |
| 2018 | 0.7 | -1.7 | 1.1 | -1.1 | 1 | -0.5 | -0.4 | -0.3 | -1.1 | 3.5 | -0.3 | 0.7 | 1.5 |
| 2019 | 0 | 1.6 | 1 | -0.4 | -1 | 1.2 | -0.8 | 0.4 | -0.7 | 0.8 | -0.4 | 0.5 | 2.1 |
| 2020 | -1.7 | -0.6 | -5.9 | -2.6 | 2.1 | 1.3 | 0.2 | 1.2 | 2.2 | -3.4 | 0.6 | -0.1 | -6.8 |
| 2021 | 3.5 | 3.6 | 0.7 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 8 |
Row
Price Chart
# tidytable [6 × 21]
datadate Close tic.x spy ret.x ret_1W.x ret_1M.x ret_3M.x ret_1Y.x ret_3Y.x ret_5Y.x tic.y gld ret.y ret_1W.y
<date> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <dbl> <dbl>
1 2005-06-23 15.0 SPY 120. -0.0141 -0.0127 0.003 0.0232 0.0478 0.201 -0.182 GLD 44.0 0.0069 0.0129
2 2005-06-24 14.9 SPY 119. -0.0073 -0.0196 -0.0036 0.0142 0.0452 0.220 -0.199 GLD 43.9 -0.0027 0.0062
3 2005-06-27 14.8 SPY 119. 0.0014 -0.0185 -0.0075 0.0225 0.0502 0.219 -0.195 GLD 43.9 0.0002 0.0057
4 2005-06-28 14.9 SPY 120. 0.0084 -0.0109 -0.0008 0.0167 0.0547 0.208 -0.187 GLD 43.4 -0.0105 -0.0082
5 2005-06-29 14.9 SPY 120. -0.0027 -0.0143 0.00290 0.0159 0.0463 0.211 -0.177 GLD 43.6 0.0041 -0.0021
6 2005-06-30 14.9 SPY 119. -0.0054 -0.0057 -0.011 0.0149 0.0553 0.228 -0.174 GLD 43.4 -0.0044 -0.0132
# … with 6 more variables: ret_1M.y <dbl>, ret_3M.y <dbl>, ret_1Y.y <dbl>, ret_3Y.y <dbl>, ret_5Y.y <dbl>, rel <dbl>Row
Rolling Performance Chart
Row
Snail Trail Chart
